Number of threads: 8 Report intermediate results every 10 second(s) Random number generator seed is 0 and will be ignored Doing OLTP test. Running mixed OLTP test Using Uniform distribution Using "BEGIN" for starting transactions Using auto_inc on the id column Using 1 test tables Threads star...
Build robust, globally distributed Postgres databases Process thousands of transactions per second, without a hitch, to over-deliver on your user expectations. Meet regional data sovereignty requirements. TECHNICAL EXPLAINER EDB Postgres AI: Geo-distributed database for always-on applications ...
Build robust, globally distributed Postgres databases Process thousands of transactions per second, without a hitch, to over-deliver on your user expectations. Meet regional data sovereignty requirements. TECHNICAL EXPLAINER EDB Postgres AI: Geo-distributed database for always-on applications ...
Scalability: Support for millions of transactions per second and horizontal scaling NLP Tasks: Wide range of natural language processing capabilities Security: Enhanced data privacy by keeping models and data together Seamless Integration: Works with existing PostgreSQL tools and client libraries ...
Per session changes Now most of your transactions you may expect to complete within that 60 second timeframe. But there still can be a case for other long running transactions–intentional long running BI queries or migrations that do need to update a lot of data as examples. For these speci...
EDB Postgres AI supports high availability active/active Postgres Distributed deployments. Leverage Postgres Distributed to build robust, globally distributed applications that process thousands of transactions per second, with up to 99.999% availability and 5x throughput support versus native logical replicatio...
Scalability: PostgreSQL scales impressively well, handling up to 100,000 transactions per second (TPS) on a single server. This makes it a solid choice for large-scale applications that demand high throughput. Performance: You’ll love PostgreSQL’s performance, with its low latency and high thro...
If your application is under high load, we recommend monitoring PgBouncer stats. We particularly recommend monitoring transactions per second, as we have seen connection queuing increasing when the PgBouncer process sits above ~15-20k xact/s.
We report the throughput in the unit of transactions per second (TPS). The scalability of a particular vPostgres server can be gauged by the peak and the slope of the throughput curve with respect to the number of database clients: the higher the peak, the steeper the slope, the ...
better. If one of the numbers is better, while the other is worse, then it becomes a matter of tradeoffs: It's up to you to decide what you consider the most important factor for your workload: the number of OLTP transactions per second, or the time it...